I'm VP of AI Infrastructure at NVIDIA. It couldn't be a more exciting time to be here:
NVIDIA has become the platform upon which every new AI-powered application is built.
From big challenging healthcare research applications to autonomous vehicles, or voice-recognition systems,
the need for advanced perception and cognitive capabilities is exploding... and NVIDIA is right in the center
of this revolution.
So many exciting challenges ahead. If you're interested in helping us build the best foundation
for the AI of tomorrow, get in touch!

Before joining NVIDIA, I was running a team at Twitter called Cortex Core. The team
focuses on building a high-leverage Machine Learning/Deep Learning platform
to power every aspect of the Twitter product (recommendation systems, search,
timeline ranking, etc.). There I focused on (1) developing models of text, images, video,
users, and (2) making these models seamlessly importable as components of user-facing
ML systems. Some interesting press on our earlier efforts around media analysis:
NSFW content and
Live Video classification.

My research focused on artificial vision in general: from
the design and understanding of trainable vision systems,
to their computation on efficient, low-power hardware. Today,
I focus almost entirely on how to transform that type of research into
high-leverage platforms that can transform our industry and create value.
This site focuses on my earlier (pre-industry) published research/academic work.

+ Yann gave a cool 'discussant' talk at the Non-Parametric Bayesian (NPB) talk. It includes a concise summary of my work here (my stuff starts getting described at 10:00).

+ Yann and I gave an invited talk at the
Big Learn Workshop
(held in conjunction with NIPS 2011). The talk was about
our latest work on neuFlow, convolutional networks, and
some real-time scene parsing/understanding results. Here are my slides.